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Building a Model for Time Reduction of Steel Scrap Meltdown in the Electric Arc Furnace (EAF): General Strategy with a Comparison of Feature Selection Methods

机译:建立电弧炉(EAF)中钢废料崩溃的时间减少模型:具有特征选择方法的一般策略

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Time reduction of steel scraps meltdown during the electic arc process is really a challenging problem. Typically the EAF process is stochastic without any determinism and only simple and naive rules are currently used to manage such processes. The goal of the paper is to present the way, which have been considered, to build an accurate model concerning different feature selection methods that would be helpful in predicting the end of the meltdown and maximum energy needed by the furnace.
机译:期间钢块熔点的时间减少了在校准过程中的崩溃是一个具有挑战性的问题。通常,EAF过程是随机而没有任何确定性,并且目前仅用于管理此类过程的简单和天真的规则。本文的目标是展示已经考虑的方式,建立了关于不同特征选择方法的准确模型,该模型将有助于预测炉子所需的熔化结束和最大能量。

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